Search the 7 jobs at Good Eggs

As a Senior Software Engineer (Data) at Good Eggs, you will work on data ingest, modeling, warehousing, BI tools, and influence tools & processes for customers. Ideal candidates will have at least 3 years of full-time data experience, a computer science degree, and be proficient in Python, SQL, and Node.js/Typescript.

Responsible for driving GoodEggs’ success by leading analytics efforts and optimizing product features for the best customer experience.

The Lifecycle Marketing Manager at Good Eggs will be responsible for building and managing nurture programs, setting up effective campaigns, optimizing performance, and collaborating with cross-functional teams. The role requires deep experience in customer lifecycle marketing, strong analytical ability, and curiosity about customer data.

As a Sr. Data Analyst, you'll be responsible for driving GoodEggs’ success by leading analytics efforts to drive conversion and optimize our marketing efficiency. You will also contribute towards ongoing learnings around Marketing channel/budget optimization through Multi Touch Attribution and MMM by building a reporting framework to enable the marketing team to make data driven decisions on a regular basis. In our quest to personalize experience for our customers, you will also be delivering insights and recommendations around demographics in addition to user behavior.

Responsible for the architecture, design, development, and testing of the supply chain platform. Lead architecture decisions and contribute to engineering best practices. Mentor other engineers and participate in on-call rotation.

The Accounting Senior Manager will be responsible for overseeing operational accounting processes, driving process improvements, managing internal controls, and leading the financial reporting and audit processes. They will also manage a team and work with cross-functional teams and external partners. The ideal candidate has 5+ years of experience, a degree in accounting, and a strong understanding of US GAAP.

Implement business and IT data requirements through new data strategies and designs across complex data platforms. Collaborate with business partners, data architects, analysts, and data engineers to resolve data modeling issues. Develop data solutions based on business goals and existing infrastructure. Required qualifications include knowledge of SQL, experience in data modeling, and strong problem-solving skills.